{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:QGXGRMQSQFGXRZAPGCYINZ2ZXU","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"706398f22b2bb2e95bafbc2e336580eb890cdeb01ab6395a577b7eae540cffed","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2018-01-23T14:13:53Z","title_canon_sha256":"4f0845430c844c9a059c2d8700d7728b6d7b5c9e61e34470e17b645031cd4421"},"schema_version":"1.0","source":{"id":"1801.07546","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.07546","created_at":"2026-05-17T23:46:11Z"},{"alias_kind":"arxiv_version","alias_value":"1801.07546v6","created_at":"2026-05-17T23:46:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.07546","created_at":"2026-05-17T23:46:11Z"},{"alias_kind":"pith_short_12","alias_value":"QGXGRMQSQFGX","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_16","alias_value":"QGXGRMQSQFGXRZAP","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_8","alias_value":"QGXGRMQS","created_at":"2026-05-18T12:32:46Z"}],"graph_snapshots":[{"event_id":"sha256:3604ebecae6704bf4c10fc7f489db4be66c52df9c3cb1c42b07f8829c1ca68fb","target":"graph","created_at":"2026-05-17T23:46:11Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Selection HHs are randomised search methodologies which choose and execute heuristics during the optimisation process from a set of low-level heuristics. A machine learning mechanism is generally used to decide which low-level heuristic should be applied in each decision step. In this paper we analyse whether sophisticated learning mechanisms are always necessary for HHs to perform well. To this end we consider the most simple HHs from the literature and rigorously analyse their performance for the LeadingOnes function. Our analysis shows that the standard Simple Random, Permutation, Greedy an","authors_text":"Andrei Lissovoi, John Alasdair Warwicker, Pietro S. Oliveto","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2018-01-23T14:13:53Z","title":"Simple Hyper-heuristics Control the Neighbourhood Size of Randomised Local Search Optimally for LeadingOnes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.07546","kind":"arxiv","version":6},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:ccaa0b69433caa04e4d4a8b9cd6c7a1673aa611a86e89cbb74a80698eb40704a","target":"record","created_at":"2026-05-17T23:46:11Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"706398f22b2bb2e95bafbc2e336580eb890cdeb01ab6395a577b7eae540cffed","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2018-01-23T14:13:53Z","title_canon_sha256":"4f0845430c844c9a059c2d8700d7728b6d7b5c9e61e34470e17b645031cd4421"},"schema_version":"1.0","source":{"id":"1801.07546","kind":"arxiv","version":6}},"canonical_sha256":"81ae68b212814d78e40f30b086e759bd01a89507f31b86528cb06274e86b49f7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"81ae68b212814d78e40f30b086e759bd01a89507f31b86528cb06274e86b49f7","first_computed_at":"2026-05-17T23:46:11.252919Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:46:11.252919Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bjfSSlgzJ/6J3hISRBlhPndsL9fulHUpc66K/+G+2sdf0o3tFpY4X/itgKxyUTIuy9t4aJImmCbZNDS7cXCWDw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:46:11.253262Z","signed_message":"canonical_sha256_bytes"},"source_id":"1801.07546","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ccaa0b69433caa04e4d4a8b9cd6c7a1673aa611a86e89cbb74a80698eb40704a","sha256:3604ebecae6704bf4c10fc7f489db4be66c52df9c3cb1c42b07f8829c1ca68fb"],"state_sha256":"69f57e6b4c3537fdaee5a657c2358c41d8c58ecce805d264101b17fd3ce0b415"}